A family of experiments to validate metrics for software process models
Journal of Systems and Software
Combining multiple-valued logics in modular expert systems
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Renoir, Pneumon-IA and Terap-IA: three medical applications based on fuzzy logic
Artificial Intelligence in Medicine
| Hi-index | 0.00 |
The objective of this article is to describe the MILORD Shell and particularly its architecture and its management of uncertainty. MILORD is an expert systems building tool consisting of two inference engines and an explanation module. the system allows one to perform different calculi of uncertainty on an expert defined set of linguistic terms expressing uncertainty. Each calculus corresponds to specific conjunction, disjunction, and implication operators. the internal representation of each linguistic uncertainty value is a fuzzy subset of the interval [0,1]. the different calculi of uncertainty applied to the set of linguistic terms give, as a result, a fuzzy subset that is approximated, by means of a linguistic approximation process, to a linguistic certainty value belonging to the set of linguistic terms. This linguistic approximation keeps the calculus of uncertainty closed. This has the advantage that, once the linguistic certainty values have been defined, the system computes, off-line, the conjunction, disjunction, and implication operations for all the pairs of linguistic uncertainty values in the term set and stores the results in matrices. Therefore, when MILORD is run, the propagation and combination of uncertainty is performed by simply accessing these precomputed matrices. MILORD also deals with nonmonotonic reasoning in the same framework of uncertainty management. Finally, an application to the diagnosis and treatment of pneumoniae is presented. (Research partially supported by a CSIC/CAICYT project and by a DEC external research agreement. an earlier version of this article, presented at the 1987 International Seminar on Expert Systems held at Avignon (France), won the 1987 Digital Equipment Corporation European Artificial Intelligence Research Paper Award. © 1989 Wiley Periodicals, Inc.)